code: def _print(*inputs, **kwargs):
      print_args = {}
      if "output_stream" in kwargs:
          print_args["file"] = kwargs["output_stream"]
      for k in ("sep", "end"):
          if k in kwargs:
              print_args[k] = kwargs[k]
      return builtin_print(*inputs, **print_args)
  
file_path: probability/tensorflow_probability/python/internal/backend/numpy/misc.py
imports: import collections
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import _utils
  from tensorflow_probability.python.internal.backend.numpy import errors
  from tensorflow_probability.python.internal.backend.numpy.numpy_math import floor
  from tensorflow_probability.python.internal.backend.numpy.numpy_math import truediv
  from tensorflow_probability.python.internal.backend.numpy.ops import _convert_to_tensor
  from tensorflow_probability.python.internal.backend.numpy.ops import clip_by_value
  from tensorflow_probability.python.internal.backend.numpy.ops import is_tensor
label_desc: Use image node_id 4 for calling a global function with example usage: _print() and returns: builtin_print